To mitigate the limitations of hand-crafted feature designing, a deep feature learning strategy was proposed by Hinton and Salakhutdinov in 2006 [1]}. Deep learning (DL) based methods can automatically learn the features from data in a hierarchical manner, to construct a model with growing semantic layers until a suitable representation is achieved. Such models have shown great potential for feature representation in remote sensing image classification [2]}, [3]}.
